available for internships & research collaborations
Building AI systems
that reasonreasonplancoordinatelearndeploy,
collaborate,
and solve real-world problems.
I'm Vibhor Mishra — a Computer Science undergraduate working on Agentic AI, Multi-Agent Systems, LLM Applications, Backend Engineering, and Full-Stack Development. Building products from research to production.
Currently
What I'm building right now
VEDA
Multi-Agent AI Career Simulation Platform
RAG integration with OpenAI Agents SDK + persona orchestration
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MARG
Neurosymbolic Multi-Agent Crisis Response System
Google Solution Challenge 2026 — Gemini 2.0 Flash + Firebase RTDB state machine
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Mission
Why I do this
I care about the systems behind intelligent software — the reasoning loops, the data plumbing, and the guardrails that make an agent actually useful in production. My work sits between research and engineering: designing multi-agent architectures, then wiring them into real backends with FastAPI, Firebase, and Python that ship.
Timeline
The path so far
- 2023Education
Started B.Tech CSE at SIRT
Foundations in DSA, OS, DBMS, and software engineering.
- 2023AI
AI Intern at RineX.Ai
Built end-to-end ML pipelines with PyTorch and scikit-learn; early exposure to GenAI architectures.
- 2024Education
IIT Mandi Minor in CSE
Advanced technologies minor via CCE × NSDC × Masai School.
- 2025Research
Agentic AI focus
Multi-agent orchestration, LLM integration, and neurosymbolic reasoning.
- 2026Shipping
Shipping production AI systems
VEDA, MARG (Google Solution Challenge), IRIS, DHARA (SIH).
Featured work
Systems I've designed and shipped
Research
Research interests
Agentic AI & Multi-Agent Systems
Agent orchestration, planning, tool-use, and memory.
Neurosymbolic AI
Hybrid LLM + rule-based reasoning for safety-critical decisions.
Retrieval-Augmented Generation
Hybrid retrieval, evaluation, and grounding.
LLM Application Design
Prompt architectures, guardrails, and observability.
Backend Systems for AI
Async serving, distributed state, and real-time coordination.
System Design
Where I think about depth
Distributed Systems
Consistency, partitioning, and failure modes.
Event-driven Architecture
Queues, streams, and eventual consistency.
Vector Databases
Indexing, hybrid search, and retrieval quality.
RAG Pipelines
Chunking, re-ranking, evaluation, guardrails.
Agent Orchestration
Planners, routers, memory, and human-in-the-loop.
Backend Design
API contracts, auth, jobs, and observability.
Database Design
Normalization, indexes, and migrations.
Authentication
Sessions, tokens, JWT rotation, and role-based access.
API Design
REST, RPC, and typed contracts.
Skills
How the pieces connect
Languages
Java Ecosystem
Python & AI
Frontend
Node & APIs
Databases
DevOps
Experience
Where I've worked
Artificial Intelligence Intern · RineX.Ai
Nov 2023 – Dec 2023- Designed and implemented end-to-end ML pipelines (supervised, unsupervised, deep learning) using Python, PyTorch, and scikit-learn — delivered 5 applied projects covering classification, clustering, and recommendation.
- Built Computer Vision and NLP preprocessing workflows using OpenCV and NLTK; early practical exposure to Generative AI architectures (GANs, Autoencoders, Transformers).
- Applied statistical modeling (hypothesis testing, probability distributions, inferential statistics) to real-world datasets for predictive modeling tasks.
Web Design Intern · Saksham Digital Technology
Jul 2024 – Jul 2024- Built responsive web interfaces using HTML5, CSS3, and JavaScript; applied accessible UI patterns and cross-browser compatibility practices.
Education
Learning path
Sagar Institute of Research & Technology (SIRT), RGPV University
B.Tech, Computer Science & Engineering
Aug 2023 – May 2027
Current CGPA (5th semester): 7.75. Coursework: Data Structures & Algorithms, OS, Computer Networks, DBMS, Software Engineering, OOP.
IIT Mandi — CCE × NSDC × Masai School
Minor in CSE & Advanced Technologies
Oct 2024 – 2025
3/3 courses completed · ID: IITMCS_24093012.
Hackathons
Where I've built under pressure
2026
Google Solution Challenge 2026
Participant
MARG — Neurosymbolic Multi-Agent Crisis Response System
2025
Anveshana 2025 Inter-College Tech Fest
Won ₹16,000
Kachra Seth (AI waste management platform)
2026
SolveExpo'26 Startup Innovation Competition
6th Rank
JNCT Bhopal — AI & DS Department
2026
Tech-Sageathon 2K26
4th Place · Won ₹2,000
National-level hackathon, SIRT (May 2026)
2025
Dawn of Code Hackathon
Participant
VIT Bhopal (Sep 2025)
Industry Simulations
Enterprise engineering exposure
May 2026
JPMorgan Chase & Co. (Forage)
Software Engineering
Project setup, Apache Kafka integration, H2 in-memory DB, REST API design and controller implementation.
Jun 2026
Walmart Global Tech (Forage)
Advanced Software Engineering
Advanced data structures, software architecture design patterns, relational schema design, data munging.
Jun 2026
Commonwealth Bank (Forage)
Software Engineering
Website creation, financial cybersecurity fundamentals, web hosting proposal.
Learning journey
Certifications & credentials
AI & Agentic AI
Programming
Achievements
Recognition & wins
Won ₹16,000 — Kachra Seth (AI waste management platform), Anveshana 2025
20256th Rank — SolveExpo'26 Startup Innovation Competition, JNCT Bhopal (AI & DS Dept.)
2026Participant — Google Solution Challenge 2026 (MARG project)
20264th Place · Won ₹2,000 — Tech-Sageathon 2K26, National-Level Hackathon, SIRT
2026
Engineering Activity
What I've been shipping on GitHub
AI Playground
Ask my AI
VEDA is a Multi-Agent AI Career Simulation Platform. LLM-powered agents (PM, senior engineer, client, junior developer) run distinct personas with a turn-taking orchestration protocol and shared conversation memory to recreate real engineering workflows.
Writing
Technical blog
2026-01-15
What is Agentic AI? A Developer's Guide to Autonomous LLM Systems
A technical overview of agentic AI for developers — how autonomous agents differ from plain LLM calls, the core building blocks (planning, tools, memory, orchestration), and lessons from building multi-agent systems like VEDA and MARG.
2025-04-01
Kachra Seth — Building an AI-Powered Urban Waste Ecosystem
How our team designed a 3-layer SaaS platform for Indian municipalities — AI waste classification, QR-based bin tracking, route optimization, and a Green Score system — winning ₹16,000 at Anveshana 2025.
Contact